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Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling

Machine Learning(2024)10.1007/s10994-024-06526-xSource: DataRank Database

Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling is a research paper published in Machine Learning (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)Impact (FWCI 1.38)OA: bronzeTopics (13)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Raphael Kim ORCID,Prasidh Chhabria ORCID,Raaz Dwivedi ORCID,Predrag Klasnja ORCID,Peng Liao ORCID

Live enrichment

PubMed:39221170 PMC:PMC11364365 OpenAlex:https://openalex.org/W4394693772

National Science Foundation

Grant: DMS2023528

National Heart, Lung, and Blood Institute

Grant: R01HL125440

National Heart, Lung, and Blood Institute

Grant: 1U01CA229445

National Institute on Drug Abuse

Grant: P50DA054039

National Institute of Biomedical Imaging and Bioengineering

Grant: P41EB028242

National Cancer Institute

Grant: U01CA229437

National Institute of Dental and Craniofacial Research

Grant: UH3DE028723

National Institute of Dental and Craniofacial Research

Grant: DGE1745303

National Institute of General Medical Sciences

Grant: T32GM135117

National Science Foundation

Grant: DMS2022448

DSO National Laboratories - Singapore

Grant: CO21070

DSO National Laboratories - Singapore

Grant: CBET21112085

NCI NIH HHS

Grant: U01 CA229445

FWCI

1.38

Citation Percentile

0.8%

Citation Trend

2025

2026

bronzeLicense: https://www.springernature.com/gp/researchers/text-and-data-mining

journalhttps://link.springer.com/content/pdf/10.1007/s10994-024-06526-x.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s10994-024-06526-x.pdf

publisherhttps://link.springer.com/article/10.1007/s10994-024-06526-x/fulltext.html

journalhttps://doi.org/10.1007/s10994-024-06526-x

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39221170

Fields of Study

Advanced Bandit Algorithms ResearchReinforcement Learning in RoboticsSmart Grid Energy Management

Keywords

PersonalizationResamplingComputer scienceReinforcement learningMachine learningArtificial intelligenceAlgorithmWorld Wide WebExploratory Data AnalysisMobile Health

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions

Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling

FAIR Checklist

Authors (8)

Funding (13 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)